Patient-reported outcomes in meta-analyses - part 2: methods for improving interpretability for decision-makers

Johnston, Bradley C; Patrick, Donald L; Thorlund, Kristian; Busse, Jason W; Da Costa, Bruno R; Schünemann, Holger J; Guyatt, Gordon H (2013). Patient-reported outcomes in meta-analyses - part 2: methods for improving interpretability for decision-makers. Health and quality of life outcomes, 11(1), p. 211. BioMed Central 10.1186/1477-7525-11-211

Preview

Text 1477-7525-11-211.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (156kB) | Preview

Systematic reviews and meta-analyses of randomized trials that include patient-reported outcomes (PROs) often provide crucial information for patients, clinicians and policy-makers facing challenging health care decisions. Based on emerging methods, guidance on improving the interpretability of meta-analysis of patient-reported outcomes, typically continuous in nature, is likely to enhance decision-making. The objective of this paper is to summarize approaches to enhancing the interpretability of pooled estimates of PROs in meta-analyses. When differences in PROs between groups are statistically significant, decision-makers must be able to interpret the magnitude of effect. This is challenging when, as is often the case, clinical trial investigators use different measurement instruments for the same construct within and between individual randomized trials. For such cases, in addition to pooling results as a standardized mean difference, we recommend that systematic review authors use other methods to present results such as relative (relative risk, odds ratio) or absolute (risk difference) dichotomized treatment effects, complimented by presentation in either: natural units (e.g. overall depression reduced by 2.4 points when measured on a 50-point Hamilton Rating Scale for Depression); minimal important difference units (e.g. where 1.0 unit represents the smallest difference in depression that patients, on average, perceive as important the depression score was 0.38 (95%CI 0.30 to 0.47) units less than the control group); or a ratio of means (e.g. where the mean in the treatment group is divided by the mean in the control group, the ratio of means is 1.27, representing a 27%relative reduction in the mean depression score).

Interest & Impact

Downloads

151 since deposited on 21 Feb 2014
21 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item